ML helps predict enzyme turnover rates

Veda Sheersh Boorla; Vikas Upadhyay; Costas D. Maranas

doi:10.1038/s41929-022-00827-x

ML helps predict enzyme turnover rates

Veda Sheersh Boorla
, Vikas Upadhyay
, Costas D. Maranas

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Pages (from-to)	655-657
Number of pages	3
Journal	Nature Catalysis
Volume	5
Issue number	8
DOIs	https://doi.org/10.1038/s41929-022-00827-x
State	Published - Aug 2022

All Science Journal Classification (ASJC) codes

Catalysis
Bioengineering
Biochemistry
Process Chemistry and Technology

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10.1038/s41929-022-00827-x

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title = "ML helps predict enzyme turnover rates",

author = "Boorla, \{Veda Sheersh\} and Vikas Upadhyay and Maranas, \{Costas D.\}",

year = "2022",

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doi = "10.1038/s41929-022-00827-x",

language = "English (US)",

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journal = "Nature Catalysis",

issn = "2520-1158",

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number = "8",

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T1 - ML helps predict enzyme turnover rates

AU - Boorla, Veda Sheersh

AU - Upadhyay, Vikas

AU - Maranas, Costas D.

PY - 2022/8

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UR - https://www.scopus.com/pages/publications/85137003276

UR - https://www.scopus.com/pages/publications/85137003276#tab=citedBy

U2 - 10.1038/s41929-022-00827-x

DO - 10.1038/s41929-022-00827-x

M3 - Comment/debate

AN - SCOPUS:85137003276

SN - 2520-1158

VL - 5

SP - 655

EP - 657

JO - Nature Catalysis

JF - Nature Catalysis

IS - 8

ER -

ML helps predict enzyme turnover rates

All Science Journal Classification (ASJC) codes

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